{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"Nys-IP-PMM","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-19T18:49:50.252Z"}},{"type":"Public","name":"gcimpute","owner":"udellgroup","isFork":false,"description":"Missing value imputation using Gaussian copula","allTopics":["gaussian-copula","missing-value-imputation"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":31,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-17T01:05:34.164Z"}},{"type":"Public","name":"SketchySGD","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-13T20:21:07.342Z"}},{"type":"Public","name":"controlburn","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":5,"starsCount":16,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-28T21:43:00.386Z"}},{"type":"Public","name":"PROMISE","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-03T22:36:37.822Z"}},{"type":"Public","name":"gcimputeR","owner":"udellgroup","isFork":false,"description":"Missing value imputation using Gaussian copula ","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":1,"starsCount":8,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-01-08T18:50:11.030Z"}},{"type":"Public","name":"orie7391","owner":"udellgroup","isFork":false,"description":"Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization","allTopics":[],"primaryLanguage":{"name":"TeX","color":"#3D6117"},"pullRequestCount":0,"issueCount":0,"starsCount":20,"forksCount":11,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-09T17:04:56.111Z"}},{"type":"Public","name":"Linnaeus_software","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-13T21:36:49.970Z"}},{"type":"Public","name":"oboe","owner":"udellgroup","isFork":false,"description":"An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.","allTopics":["ml-pipelines","collaborative-filtering","automl"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":82,"forksCount":16,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-10-23T00:22:11.071Z"}},{"type":"Public","name":"interpretable_clustering","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-03-27T23:14:33.777Z"}},{"type":"Public","name":"MIMICIII-Health-Care-Research","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-03-04T15:59:50.587Z"}},{"type":"Public","name":"TenIPS","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-02-26T00:43:25.688Z"}},{"type":"Public","name":"tensorsketch","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-17T07:10:49.634Z"}},{"type":"Public","name":"QPyTorch","owner":"udellgroup","isFork":true,"description":"Low Precision Arithmetic Simulation in PyTorch","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":71,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-11-25T01:52:31.578Z"}},{"type":"Public","name":"LowRankSketch.jl","owner":"udellgroup","isFork":false,"description":"Low Rank Approximation via Sketching","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-11-01T13:01:01.307Z"}},{"type":"Public","name":"Codes-of-FGSR-for-effecient-low-rank-matrix-recovery","owner":"udellgroup","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":1,"starsCount":11,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-10-20T20:18:08.238Z"}},{"type":"Public","name":"pyglrm","owner":"udellgroup","isFork":false,"description":"The Python wrapper for LowRankModels.jl.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":1,"starsCount":14,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-08-26T21:27:28.431Z"}},{"type":"Public","name":"oboe-testing","owner":"udellgroup","isFork":false,"description":"Experimental evaluation of the Oboe system.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-07-12T00:00:35.686Z"}},{"type":"Public","name":"orie7191","owner":"udellgroup","isFork":false,"description":"Materials for ORIE 7191: Topics in Optimization for Machine Learning","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":2,"issueCount":0,"starsCount":39,"forksCount":11,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-04-23T08:16:56.268Z"}},{"type":"Public","name":"causal_mf_code","owner":"udellgroup","isFork":false,"description":"The repo contains code for the paper \"Causal Inference with Noisy and Missing Covariates via Matrix Factorization\"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-01-22T15:26:54.648Z"}},{"type":"Public","name":"Submodular.jl","owner":"udellgroup","isFork":false,"description":"Submodular.jl is a Julia package for optimization over combinatorial structures","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-12-27T14:27:18.406Z"}},{"type":"Public","name":"GraphGLRM.jl","owner":"udellgroup","isFork":true,"description":"Network-Regularized Generalized Low-Rank Models","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":5,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-08-26T23:22:12.794Z"}},{"type":"Public","name":"Foliage-Detection","owner":"udellgroup","isFork":false,"description":"Detecting foliage cover via Low Rank Approximation","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-06-12T23:58:05.127Z"}}],"repositoryCount":23,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}